Abstract: The concentrations of six heavy metals (As, Cd, Cr, Cu, Pb and Zn) were analyzed in eight surface sediments sampled from Qinghe River, Beijing, to understand their spatial distribution. Based on the geo-accumulation indexes model modified with the triangular fuzzy numbers theories, the pollution of heavy metals in the surface sediments of Qinghe River were comprehensively evaluated. The results showed that the average concentrations of As, Cd, Cr, Cu, Pb and Zn were 43.18,1.20,0.70,9.62 and 297.36 mg/kg, respectively, though the levels of heavy metals in different sample sites differed greatly. The aggregative pollution degree of measured heavy metals in the surface sediments were As>Cd>Zn>Cu>Pb>Cr. Both the modified geo-accumulation index model and the ordinary evaluated model showed that the pollution degree of heavy metals in the sediments of Qinghe River was low. The modified geo-accumulation indexes model provided the same results of heavy pollution for most of the sediment samples as ordinary evaluation. The algorithm of uncertainty evaluation and ordinary evaluation are different; the former adopts interval values rather than a single concentration value. When the interval values were close to the grading limit, the uncertainty evaluation commonly gave more stringent assessment results than the ordinary evaluation. The sediment pollution of As at QH6 was assessed at a lower intermediate level by the ordinary evaluation, while intermediate level by the uncertainty evaluation. Similar results were found at site QH5 and QH8 for assessing the pollution of Cd and Zn.